{"id":"W3182556002","doi":"10.1371/journal.pcbi.1009141","title":"Responses to 10 common criticisms of anti-racism action in STEMM","year":2021,"lang":"en","type":"editorial","venue":"PLoS Computational Biology","topic":"Global Educational Policies and Reforms","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Toronto","funders":"","keywords":"Racism; Action (physics); Sociology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.05018581,0.00143823,0.0008678818,0.003073832,0.02060249,0.01539658,0.003320878,0.02499226,0.004877697],"category_scores_gemma":[0.1328872,0.001012127,0.001228444,0.003475246,0.02708211,0.008330621,0.01028168,0.03394306,0.001353705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01614441,"about_ca_system_score_gemma":0.008677655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006949535,"about_ca_topic_score_gemma":0.009618142,"domain_scores_codex":[0.9365146,0.03988197,0.003484009,0.004974483,0.01130105,0.003844056],"domain_scores_gemma":[0.8049061,0.1463277,0.01714349,0.005926119,0.02089028,0.004806393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001346132,0.00006892178,0.004431255,0.0009778412,0.00008243147,0.002164757,0.4548749,0.0002736586,0.001625474,0.1547956,0.3352848,0.04528587],"study_design_scores_gemma":[0.00003457402,0.00006499479,0.002753103,0.001984086,0.00003354924,0.000781561,0.2229821,0.0003868384,0.001329877,0.02337847,0.7460907,0.0001803628],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.03997331,0.007819969,0.003867075,0.8906577,0.01443357,0.00009018088,0.0001457341,0.0001915335,0.04282095],"genre_scores_gemma":[0.4453036,0.006823156,0.004772069,0.5001349,0.01056398,0.0003559462,0.0001398559,0.0004638562,0.03144272],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9793975,"threshold_uncertainty_score":0.2654111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04691587181437951,"score_gpt":0.4153109095689727,"score_spread":0.3683950377545931,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}